# Voice Security

A deepfake audio detection model fine-tuned based on wav2vec2-base, achieving 99.66% accuracy

A voice anti-spoofing detection model fine-tuned based on wav2vec2-base, achieving 88.89% accuracy on the evaluation set

This model is a fine-tuned audio classification model based on asapp/sew-mid-100k on the alexandreacff/kaggle-fake-detection dataset, designed for fake audio detection.

An audio classification model based on the HuBERT architecture, specifically designed for detecting deepfake audio and audio spoofing

A voice deepfake detection model fine-tuned on the ASVspoof2019 dataset based on facebook/wav2vec2-base-960h